Full-text search across 6912 articles. Combine with topic and date filters; results sorted by relevance.
NVIDIA researchers introduced IR-FRestormer, a novel method combining iterative refinement with Fourier-based restormer for accelerated MRI reconstruction, achieving state-of-the-art results. The work was presented at WA…
NVIDIA researchers introduced VILA-M3, a vision-language model enhanced with medical expert knowledge, at CVPR 2025. The model aims to improve AI understanding of medical images by incorporating domain-specific expertise…
NVIDIA researcher Yunze Man focuses on robotics as part of the company's AI research division. His work contributes to NVIDIA's broader efforts in spatial intelligence, computer vision, and autonomous systems.
A guide titled 'MLOps Engineer Interview Questions: The Complete Guide' was published, covering interview categories such as CI/CD, containerization, model serving, monitoring, infrastructure design, and incident respons…
A comprehensive guide to AI research scientist interview questions has been published, covering math and theory, paper presentation, implementation, experiment design, whiteboard research ideation, and behavioral categor…
A guide to interview questions for AI and data roles, including AI Product Manager, AI Research Scientist, Data Scientist, Machine Learning Engineer, MLOps Engineer, and Forward Deploy Engineer, provides sample answers a…
Danny Arends, a long-time D language developer, has built DLLM, a minimal coding agent in D that runs directly on llama.cpp without Python or bindings, using D's ImportC feature to access the C API with zero FFI overhead…
A developer released e3d-pod2vid, an open-source AI pipeline that converts diarized podcast audio into YouTube-ready videos with semantically matched B-roll, burned-in subtitles, and optional TTS voice replacement. The t…
A developer has compiled a list of 10 open source tools that can give developers a competitive advantage, including the Godot Engine for game development, Turborepo for monorepo builds, and Nest.js for structured Node.js…
Researchers have developed a new backdoor attack on speech classification models called DRL-CLBA, which uses reinforcement learning and audio steganography to evade traditional defenses. The attack achieves high success …
A developer built a semantic search service using FastAPI and Pinecone, demonstrating how to wire a FastAPI service to the Pinecone vector database for embedding generation and similarity lookup. The service provides thr…
David Ohnstad outlined strategies for product teams to build user trust through transparency, ethical data practices, and privacy protections in AI-driven development. The approach emphasizes clear communication about da…
Monlite launches a zero-dependency TypeScript backend for AI agents that combines memory, vector search, task queues, locks, and cron into a single SQLite file, eliminating the need for Docker or multiple services. The o…
Demis Hassabis used chess not as an end goal but as a tool to build a mind capable of mastering any field, folding the game's lessons into artificial intelligence and then into biology. The same cognitive engine that lea…
The newsletter discusses the challenges of measuring developer productivity and predicting timelines, drawing parallels between Fred Brooks' 'The Mythical Man-Month' and modern AI agentic software development. It highlig…
SSML (Speech Synthesis Markup Language) provides fine-grained control over AI speech output, including pronunciation, pacing, volume, pitch, and pauses, with support across major TTS engines like Google Cloud TTS, Azure …
A medical AI system that reports 99% confidence in a pneumonia diagnosis may be correct only 80% of the time, highlighting a calibration problem where confidence scores do not reflect actual accuracy. Research shows mode…
A developer built a neural network training loop in five lines using JAX, demonstrating gradient descent from scratch and achieving a 32x speedup with JIT compilation on a MacBook CPU. The project verifies JAX's gradient…
Researchers introduced the Geometry-aware R-Structured Kolmogorov-Arnold Network (GRS-KAN), a hybrid neural architecture that integrates geometric constraints via R-functions into the Kolmogorov-Arnold Network framework.…
The SCOPE-RL framework, a two-stage reinforcement learning approach for large language models, improved average accuracy by up to 11.2 percentage points and reduced reasoning tokens by 27.1% on models like Qwen3-8B-Instr…